#MedRAX
Agentic AI Meets Medicine!!!

🔬 Excited to announce MedRAX: a groundbreaking Medical Reasoning Agent for Chest X-ray interpretation, now on arXiv!

Paper:https://arxiv.org/abs/2502.02673

Code: github.com/bowang-lab/M...
February 18, 2025 at 2:21 AM
🎯 Why MedRAX?

While specialized AI models excel at specific chest X-ray tasks, they often operate in isolation. Medical professionals need a unified, reliable system that can handle complex queries while maintaining accuracy. MedRAX bridges this gap!
February 18, 2025 at 2:21 AM
What is MedRAX?

MedRAX is the first versatile AI agent that seamlessly integrates state-of-the-art chest X-ray analysis tools and multimodal large language models into a unified framework, enabling dynamic reasoning for complex medical queries without additional training.
February 18, 2025 at 2:21 AM
Sounds impressive! Just like MedRAX, scannit.io empowers users by giving them control over their data and ensuring transparency. Imagine harnessing advanced AI while securing your data's value. Exciting innovations like this highlight how tech can enhance healthcare while keeping users in charge!
February 18, 2025 at 2:47 AM
July 1, 2026 at 12:22 AM
May 3, 2026 at 6:18 AM
November 2, 2025 at 7:08 PM
bowang-lab/MedRAX
Check out bowang-lab/MedRAX on GitHub
github.com
February 12, 2025 at 8:25 AM
MedRAX: Medical Reasoning Agent for Chest X-ray
MedRAX integrates CXR analysis tools and language models for efficient medical query response. Leading in automated CXR interpretation.
Read more: https://arxiv.org/html/2502.02673v1
February 6, 2025 at 7:42 AM
Imagine if we have enough spatial omics data to the same thing as this. Well done to whole team.

arxiv.org/abs/2502.02673
MedRAX: Medical Reasoning Agent for Chest X-ray
Chest X-rays (CXRs) play an integral role in driving critical decisions in disease management and patient care. While recent innovations have led to specialized models for various CXR interpretation t...
arxiv.org
February 6, 2025 at 6:12 PM